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Recruiting Software
Amazon VPC, Amazon S3, AWS Lambda, Amazon EKS, AWS IAM, Amazon ECR
Optimized Amazon EKS and Amazon API Gateway for scalable, secure, and cost-efficient infrastructure.
The client is a comprehensive platform that streamlines hiring, from attracting talent to onboarding. Its advanced ATS uses AI and ML to optimize recruitment for organizations of all sizes
Infrastructure Cost Reduction
Automatic Scaling
Performance Visibility
The client struggled with high costs and performance issues on their Amazon EKS microservices application, facing scalability challenges, inadequate error handling, and lack of monitoring and logging tools.
• Used eksctl to deploy clusters across different environments with YAML config files defining node size and count.
• Set up Cluster Autoscaler for automatic node scaling based on resource needs.
• Configured Horizontal Pod Autoscaler (HPA) to adjust pod counts based on CPU and memory metrics.
• Implemented RBAC to manage access for different user roles by defining roles and permissions.
• Applied node affinity for optimized resource usage and pod placement based on specific conditions.
• Deployed ELK stack (Elasticsearch, Logstash, Kibana) for comprehensive log collection and analysis.
• Integrated Fluent Bit for forwarding logs from EKS pods to ELK for efficient management.
• Used Prometheus with Grafana for monitoring node and pod metrics, providing insights into system health.
Reduced Amazon EKS costs by 20-40%, handled 20,000 requests/second with AWS Lambda, and achieved 90% performance visibility with Prometheus and Grafana.
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